A
Amitabha Ghosh
Researcher at Indian Institute of Engineering Science and Technology, Shibpur
Publications - 38
Citations - 918
Amitabha Ghosh is an academic researcher from Indian Institute of Engineering Science and Technology, Shibpur. The author has contributed to research in topics: Fuzzy logic & Inertial frame of reference. The author has an hindex of 12, co-authored 38 publications receiving 827 citations. Previous affiliations of Amitabha Ghosh include Indian National Science Academy & Indian Institute of Technology Kharagpur.
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Mechanism of spark generation during electrochemical discharge machining: a theoretical model and experimental verification
Indrajit Basak,Amitabha Ghosh +1 more
TL;DR: In this article, a theoretical model of the electrochemical discharge phenomenon was developed and the critical voltage and current required to initiate discharge between the electrode and the electrolyte were estimated. But the model was not applied to the case of nonconducting work materials.
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A thermo-electric model of material removal during electric discharge machining
Ajit Singh,Amitabha Ghosh +1 more
TL;DR: In this paper, the authors proposed a model to estimate the electrostatic forces acting on the metal surface and the stress distribution inside the metal due to this electrostatic force, and then the variation of the yield strength with depth inside a metal has also been found out.
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A genetic-fuzzy approach for mobile robot navigation among moving obstacles
TL;DR: The results of this study show that the proposed genetic-fuzzy approach can produce efficient knowledge base of an FLC for controlling the motion of a robot among moving obstacles.
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Mechanism of material removal in electrochemical discharge machining: a theoretical model and experimental verification
Indrajit Basak,Amitabha Ghosh +1 more
TL;DR: In this article, a simplified model is developed to predict the characteristics of the material removal rate for varying input parameters with the objective of finding the possibility of enhancing the capability of the process.
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Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach
TL;DR: This paper describes a new method for generating optimal path and gait simultaneously of a six-legged robot using a combined GA-fuzzy approach, where fuzzy logic controllers and genetic algorithms are used to find optimized FLCs.